The results are summarized in Table REF . We were surprised to find that both convolution- and transformer-based backbone networks attain similar performance. We conjecture that although it has been widely studied that convolutions and transformers see differently [1]}, as they are pre-trained on the same dataset [2]}, the representations learned by models are almost alike. Note that we only utilized backbones with pyramidal structure, and the results may differ if other backbone networks are used, which we leave this exploration for the future work.
